Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data

Monitoring and understanding climate-induced changes in the boreal and arctic vegetation is critical to aid in prognosticating their future. We used a 33 year (1982–2014) long record of satellite observations to robustly assess changes in metrics of growing season (onset: SOS, end: EOS and length: L...

Full description

Bibliographic Details
Published in:Environmental Research Letters
Main Authors: Taejin Park, Sangram Ganguly, Hans Tømmervik, Eugénie S Euskirchen, Kjell-Arild Høgda, Stein Rune Karlsen, Victor Brovkin, Ramakrishna R Nemani, Ranga B Myneni
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2016
Subjects:
Q
Online Access:https://doi.org/10.1088/1748-9326/11/8/084001
https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa
id ftdoajarticles:oai:doaj.org/article:aa7c0fa92f3f4ad68002d0b9f795c5aa
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:aa7c0fa92f3f4ad68002d0b9f795c5aa 2023-09-05T13:17:02+02:00 Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data Taejin Park Sangram Ganguly Hans Tømmervik Eugénie S Euskirchen Kjell-Arild Høgda Stein Rune Karlsen Victor Brovkin Ramakrishna R Nemani Ranga B Myneni 2016-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/11/8/084001 https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa EN eng IOP Publishing https://doi.org/10.1088/1748-9326/11/8/084001 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/11/8/084001 1748-9326 https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa Environmental Research Letters, Vol 11, Iss 8, p 084001 (2016) photosynthetically active growing season gross primary productivity boreal and arctic remote sensing climate change AVHRR Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2016 ftdoajarticles https://doi.org/10.1088/1748-9326/11/8/084001 2023-08-13T00:37:44Z Monitoring and understanding climate-induced changes in the boreal and arctic vegetation is critical to aid in prognosticating their future. We used a 33 year (1982–2014) long record of satellite observations to robustly assess changes in metrics of growing season (onset: SOS, end: EOS and length: LOS) and seasonal total gross primary productivity. Particular attention was paid to evaluating the accuracy of these metrics by comparing them to multiple independent direct and indirect growing season and productivity measures. These comparisons reveal that the derived metrics capture the spatio-temporal variations and trends with acceptable significance level (generally p < 0.05). We find that LOS has lengthened by 2.60 d dec ^−1 ( p < 0.05) due to an earlier onset of SOS (−1.61 d dec ^−1 , p < 0.05) and a delayed EOS (0.67 d dec ^−1 , p < 0.1) at the circumpolar scale over the past three decades. Relatively greater rates of changes in growing season were observed in Eurasia (EA) and in boreal regions than in North America (NA) and the arctic regions. However, this tendency of earlier SOS and delayed EOS was prominent only during the earlier part of the data record (1982–1999). During the later part (2000–2014), this tendency was reversed, i.e. delayed SOS and earlier EOS. As for seasonal total productivity, we find that 42.0% of northern vegetation shows a statistically significant ( p < 0.1) greening trend over the last three decades. This greening translates to a 20.9% gain in productivity since 1982. In contrast, only 2.5% of northern vegetation shows browning, or a 1.2% loss of productivity. These trends in productivity were continuous through the period of record, unlike changes in growing season metrics. Similarly, we find relatively greater increasing rates of productivity in EA and in arctic regions than in NA and the boreal regions. These results highlight spatially and temporally varying vegetation dynamics and are reflective of biome-specific responses of northern vegetation during last ... Article in Journal/Newspaper Arctic Climate change Directory of Open Access Journals: DOAJ Articles Arctic Browning ENVELOPE(164.050,164.050,-74.617,-74.617) Environmental Research Letters 11 8 084001
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic photosynthetically active growing season
gross primary productivity
boreal and arctic
remote sensing
climate change
AVHRR
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
spellingShingle photosynthetically active growing season
gross primary productivity
boreal and arctic
remote sensing
climate change
AVHRR
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
Taejin Park
Sangram Ganguly
Hans Tømmervik
Eugénie S Euskirchen
Kjell-Arild Høgda
Stein Rune Karlsen
Victor Brovkin
Ramakrishna R Nemani
Ranga B Myneni
Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
topic_facet photosynthetically active growing season
gross primary productivity
boreal and arctic
remote sensing
climate change
AVHRR
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
description Monitoring and understanding climate-induced changes in the boreal and arctic vegetation is critical to aid in prognosticating their future. We used a 33 year (1982–2014) long record of satellite observations to robustly assess changes in metrics of growing season (onset: SOS, end: EOS and length: LOS) and seasonal total gross primary productivity. Particular attention was paid to evaluating the accuracy of these metrics by comparing them to multiple independent direct and indirect growing season and productivity measures. These comparisons reveal that the derived metrics capture the spatio-temporal variations and trends with acceptable significance level (generally p < 0.05). We find that LOS has lengthened by 2.60 d dec ^−1 ( p < 0.05) due to an earlier onset of SOS (−1.61 d dec ^−1 , p < 0.05) and a delayed EOS (0.67 d dec ^−1 , p < 0.1) at the circumpolar scale over the past three decades. Relatively greater rates of changes in growing season were observed in Eurasia (EA) and in boreal regions than in North America (NA) and the arctic regions. However, this tendency of earlier SOS and delayed EOS was prominent only during the earlier part of the data record (1982–1999). During the later part (2000–2014), this tendency was reversed, i.e. delayed SOS and earlier EOS. As for seasonal total productivity, we find that 42.0% of northern vegetation shows a statistically significant ( p < 0.1) greening trend over the last three decades. This greening translates to a 20.9% gain in productivity since 1982. In contrast, only 2.5% of northern vegetation shows browning, or a 1.2% loss of productivity. These trends in productivity were continuous through the period of record, unlike changes in growing season metrics. Similarly, we find relatively greater increasing rates of productivity in EA and in arctic regions than in NA and the boreal regions. These results highlight spatially and temporally varying vegetation dynamics and are reflective of biome-specific responses of northern vegetation during last ...
format Article in Journal/Newspaper
author Taejin Park
Sangram Ganguly
Hans Tømmervik
Eugénie S Euskirchen
Kjell-Arild Høgda
Stein Rune Karlsen
Victor Brovkin
Ramakrishna R Nemani
Ranga B Myneni
author_facet Taejin Park
Sangram Ganguly
Hans Tømmervik
Eugénie S Euskirchen
Kjell-Arild Høgda
Stein Rune Karlsen
Victor Brovkin
Ramakrishna R Nemani
Ranga B Myneni
author_sort Taejin Park
title Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
title_short Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
title_full Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
title_fullStr Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
title_full_unstemmed Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
title_sort changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
publisher IOP Publishing
publishDate 2016
url https://doi.org/10.1088/1748-9326/11/8/084001
https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa
long_lat ENVELOPE(164.050,164.050,-74.617,-74.617)
geographic Arctic
Browning
geographic_facet Arctic
Browning
genre Arctic
Climate change
genre_facet Arctic
Climate change
op_source Environmental Research Letters, Vol 11, Iss 8, p 084001 (2016)
op_relation https://doi.org/10.1088/1748-9326/11/8/084001
https://doaj.org/toc/1748-9326
doi:10.1088/1748-9326/11/8/084001
1748-9326
https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa
op_doi https://doi.org/10.1088/1748-9326/11/8/084001
container_title Environmental Research Letters
container_volume 11
container_issue 8
container_start_page 084001
_version_ 1776198376504688640